*Quantifying Human Dynamics in Decentralised Socio-Technical Systems* The project aims to quantify and model human dynamics in decentralised socio-technical systems. Depending on the common interest of the candidate and the supervisor, it will focus either on the dynamics of information production and consumption on social networks (misinformation, polarisation, etc) or on the analysis of cryptocurrency/web3 ecosystems (crypto transaction networks, NFT market, etc). The project will involve the analysis of large datasets, statistical analysis and, whenever possible, mathematical modelling. In all cases, it will be developed in collaboration with top research institutions, and major partners in the private and/or public sectors.
More info can be found here <www.city.ac.uk/prospective-students/finance/funding/sst-doctoral-studentships>. The deadline for applications is May 31st, 2023. Interested candidates are welcome to reach out.
Contact: Andrea Baronchelli <abaronchelli@turing.ac.uk>